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Astrophysics Source Code Library

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Searching for codes credited to 'Ruane, Garreth'

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[ascl:2304.004] FALCO: Fast Linearized Coronagraph Optimizer in MATLAB
Riggs, A. J. Eldorado; Ruane, Garreth; Sidick, Erkin; Coker, Carl; Kern, Brian D.; Shaklan, Stuart B.

FALCO (Fast Linearized Coronagraph Optimizer) performs coronagraphic focal plane wavefront correction. It includes routines for pair-wise probing estimation of the complex electric field and Electric Field Conjugation (EFC) control. FALCO utilizes and builds upon PROPER (ascl:1405.006) and rapidly computes the linearized response matrix for each DM, which facilitates re-linearization after each control step for faster DM-integrated coronagraph design and wavefront correction experiments. A Python 3 implementation of FALCO (ascl:2304.005) is also available.

[ascl:2304.005] FALCO: Fast Linearized Coronagraph Optimizer in Python
Riggs, A. J. Eldorado; Ruane, Garreth; Sidick, Erkin; Coker, Carl; Kern, Brian D.; Shaklan, Stuart B.

FALCO (Fast Linearized Coronagraph Optimizer) performs coronagraphic focal plane wavefront correction. It includes routines for pair-wise probing estimation of the complex electric field and Electric Field Conjugation (EFC) control. FALCO utilizes and builds upon PROPER (ascl:1405.006) and rapidly computes the linearized response matrix for each DM, which facilitates re-linearization after each control step for faster DM-integrated coronagraph design and wavefront correction experiments. A MATLAB implementation of FALCO (ascl:2304.004) is also available.

[ascl:2503.019] kpic_pipeline: KPIC Data Reduction Pipeline
KPIC Team; Wang, Jason J.; Ruffio, Jean-Baptiste; Morris, Evan; Delorme, Jacques-Robert; Jovanovic, Nemanja; Pezzato, Jacklyn; Echeverri, Daniel; Finnerty, Luke; Hood, Callie; Zanazzi, J. J.; Bryan, Marta L.; Bond, Charlotte Z.; Cetre, Sylvain; Martin, Emily C.; Mawet, Dimitri; Skemer, Andy; Baker, Ashley; Xuan, Jerry W.; Wallace, J. Kent; Wang, Ji; Bartos, Randall; Blake, Geoffrey A.; Boden, Andy; Buzard, Cam; Calvin, Benjamin; Chun, Mark; Doppmann, Greg; Dupuy, Trent J.; Duchêne, Gaspard; Feng, Y. Katherina; Fitzgerald, Michael P.; Fortney, Jonathan; Freedman, Richard S.; Knutson, Heather; Konopacky, Quinn; Lilley, Scott; Liu, Michael C.; Lopez, Ronald; Lupu, Roxana; Marley, Mark S.; Meshkat, Tiffany; Miles, Brittany; Millar-Blanchaer, Maxwell; Ragland, Sam; Roy, Arpita; Ruane, Garreth; Sappey, Ben; Schofield, Tobias; Weiss, Lauren; Wetherell, Edward; Wizinowich, Peter; Ygouf, Marie

kpic_pipeline reduces data taken with the Keck Planet Imager and Characterizer (KPIC). Written in Python, the code processes high resolution spectroscopy data taken with KPIC to study exoplanet atmospheres; it processes and calibrate the data to enable spectroscopic model fitting. kpic_pipeline can reduce the observed data into 1D spectra for one given science target or can be used to reduce the full nightly data.